An Information Extraction Strategy for Medical Imaging Diagnostic Report

Author

Zhu, Xin-Hua ; Yu, Ya-Xin ; Jia, Tong ; Zhao, Da-Zhe ; Liu, Ji-Ren

Author_Institution

Northeastern Univ., Beijing

fYear

2007

fDate

23-27 May 2007

Firstpage

388

Lastpage

392

Abstract

A text information extraction strategy for medical imaging diagnostic report is proposed in this paper. The knowledge used by this strategy is represented as base-element and composite-element. Under the control of knowledge base, diagnostic reports would be transformed into structured information. The strategy makes full use of the extensibility of Extenics to extend existing knowledge. Experimental results show that the strategy is one of efficient and effective methods to solve the problems of information extraction.

Keywords

biomedical imaging; information retrieval; knowledge based systems; medical computing; ontologies (artificial intelligence); patient diagnosis; Base-element; Composite-element; information extraction strategy; medical imaging diagnostic report; text information extraction strategy; Biomedical imaging; Data mining; Logic; Medical diagnosis; Medical diagnostic imaging; Ontologies; Paper technology; Picture archiving and communication systems; Set theory; Text processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Complex Medical Engineering, 2007. CME 2007. IEEE/ICME International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-1077-4

Electronic_ISBN

978-1-4244-1078-1

Type

conf

DOI

10.1109/ICCME.2007.4381762

Filename

4381762